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Mechanistic corticostriatal circuit model predicts learning-dependent fMRI dynamics and individual reward bias in humans.

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Title: Mechanistic corticostriatal circuit model predicts learning-dependent fMRI dynamics and individual reward bias in humans.
Authors: Carter S, Kuang Z, Chesebro AG, Organtzidis H, Jumana SA, Burke SJ, Pathak A, Ratai EM, Miller EK, Granger RH, Strey HH, Mujica-Parodi LR
Source: BioRxiv : the preprint server for biology [bioRxiv] 2026 Jun 09. Date of Electronic Publication: 2026 Jun 09.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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DbLabel: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Mechanistic corticostriatal circuit model predicts learning-dependent fMRI dynamics and individual reward bias in humans.
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  Data: <searchLink fieldCode="JN" term="%22101680187%22">BioRxiv : the preprint server for biology</searchLink> [bioRxiv] 2026 Jun 09. <i>Date of Electronic Publication: </i>2026 Jun 09.
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  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101680187 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2692-8205 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226928205%22">26928205 </searchLink><i>NLM ISO Abbreviation: </i>bioRxiv <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42327262
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      – Type: doi
        Value: 10.64898/2026.05.28.728582
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      – Code: eng
        Text: English
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      – TitleFull: Mechanistic corticostriatal circuit model predicts learning-dependent fMRI dynamics and individual reward bias in humans.
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            NameFull: Carter S
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            NameFull: Kuang Z
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          Dates:
            – D: 09
              M: 06
              Text: 2026 Jun 09
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2692-8205
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            – TitleFull: BioRxiv : the preprint server for biology
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